Shuang Li
Assistant Professor
School of Data Science
The Chinese University of Hong Kong (Shenzhen)
Daoyuan Building, 508b
Shenzhen, Guangdong, China



I am an Assistant Professor in the School of Data Science at The Chinese University of Hong Kong (Shenzhen). Previously, I was a postdoctoral fellow at Harvard University, working on mobile health with Prof. Susan Murphy. I earned my Ph.D. in Industrial Engineering from H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech in 2019, and earlier, I received B.E. in Automation from University of Science and Technology of China in 2011.

[Google Scholar] [Curriculum Vitae]

I am now recruiting research assistants! I have multiple PhD openings this year. If you are interested in working with me, and with good programming skills and math background, you can contact me via email with your CV.

Research Interests

My research delves into the development of knowledge-enhanced sequential models and sequential decision tools, which prioritize interpretability and trustworthiness in machine learning.

More specifically, my research focuses on:

  • Knowledge-Enhanced Sequential Models: By integrating domain-specific knowledge into machine learning algorithms, we aim to facilitate transparent decision-making processes and to create robust and reliable frameworks applicable in high-stakes systems.

  • Human Cognitive Process Modeling: By incorporating Theory of Mind and spatial-temporal logical reasoning into AI systems, we aim to enable effective collaboration between humans and AI.

  • Applications in Healthcare: We aim to apply machine learning tools to improve healthcare policies, clinical workflows, and patient outcomes through informed decision-making.


  • PhD student
           — Chao Yang (2022- ) BS: Shandong University, MS: University of Edinburgh
           — Wendi Ren (2023- ) BS: Sun Yat-sen University, MS: Georgia Institute of Technology
           — Xinye Chen (2023- ) BS: Zhejiang University of Finance & Economics, MS: Johns Hopkins University

  • Research Assistant
           — Chengzhi Cao (2022 Dec-2024 Jan) Visiting student from the University of Science and Technology of China. News: PhD offers from CMU etc
           — Zitao Song (2022 Jun-2023 May) Master student at The Chinese University of Hong Kong (Shenzhen). News: PhD offers from Purdue, Washington University in St. Louis, Univ. Virginia etc
           — Yang Yang (2022 Oct- ) Master student at The Chinese University of Hong Kong (Shenzhen)
           — Yinghao Fu (2023 May- ) Master student at The Chinese University of Hong Kong (Shenzhen)
           — Shuting Cui (2023 July- 2023 Dec)

  • Undergraduate student (who has been working closely with me)
           — Minghao Mou (2022 Jun-2023 May) Initial placement: PhD student in ECE at Purdue University
           — Yiling Kuang (2022 Sep-2023 May) Initial placement: PhD student in Statistics at The Chinese University of Hong Kong
           — Zhaner Mou (2021 Dec-2022 May) Initial placement: Master student in Biostatisitcs at UC San Diego
           — Zilin Jing (2022 May- ) News: PhD offers from Columbia Univ., Umich, CMU, GaTech
           — Junyu Leng (2024 Jan- )
           — Shuhan Zhang (2024 March- )



  • Temporal Logic Point Processes
    S. Li, L. Wang, R. Zhang, X. Chang, X. Liu, Y. Xie, Y. Qi, and L. Song
    International Conference on Machine Learning (ICML), 2020.


  • Detecting Weak Changes in Dynamic Events over Networks
    S. Li, Y. Xie, M. Farajtabar, A. Verma, and L. Song
    IEEE Transactions on Signal and Information Processing over Networks, Vol. 3, No. 2, June 2017.
           — Finalist of 2018 INFORMS Social Media analytics Best Student Paper Competition

Book Chapter




Area Chair for:

Reviewer for:

  • Journal of American Statistical Association, Annals of Applied Statistics, IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems